Danyi Wang

43 papers receiving 475 citations

Peers

Danyi Wang
Comparison fields: 5 of 123
  • Ophthalmology 121
  • General Economics, Econometrics and Finance 54
  • Transportation 33
  • Developmental and Educational Psychology 52
  • Computer Science Applications 21
Replace Robert Wolfe with:
Robert Wolfe United States
Lanfang Sun China
Barbara Jennings United States
Tiago Martins Portugal
Sheng-Ming Wang China
David M. Reed United States
Gregory M. Nelson United States
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Danyi Wang relative to Robert Wolfe United States Robert Wolfe's profile →
Citations per field
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Citations per year

Countries citing papers authored by Danyi Wang

Since Specialization
Citations

This map shows the geographic impact of Danyi Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Danyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danyi Wang more than expected).

Fields of papers citing papers by Danyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danyi Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Danyi Wang. The network helps show where Danyi Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Danyi Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danyi Wang Line = papers co-authored together Danyi Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010172
2 202264
3 202128
4 201121
5 200718
6
Methods for analysis of passenger trip performance in a complex networked transportation system
200717
7 200415
8 202114
9 200812
10 201712
11 202311
12 201511
13 20238
14 20238
15 20237
16 20247
17 20097
18 20075
19 20095
20
Trend Analysis of Airline Passenger Trip Delays
20074

About Danyi Wang

Danyi Wang is a scholar working on Molecular Biology, Aerospace Engineering, Cancer Research, Oncology and General Economics, Econometrics and Finance, having authored 49 papers that have together received 490 indexed citations. Recurring topics across this work include Air Traffic Management and Optimization (8 papers), Aviation Industry Analysis and Trends (7 papers), Transportation Planning and Optimization (6 papers), Cancer Genomics and Diagnostics (6 papers), Non-Invasive Vital Sign Monitoring (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Cancer Mechanisms and Therapy (3 papers) and Glaucoma and retinal disorders (3 papers). The work is most often cited by research in Ophthalmology (121 citations), General Economics, Econometrics and Finance (54 citations), Transportation (33 citations), Developmental and Educational Psychology (52 citations) and Computer Science Applications (21 citations). Danyi Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Juan Qu, Cynthia L. Grosskreutz, Lance Sherry, Ming Ming Chiu, Hao Lei, Zheng Feng, Alexander Belyaev, Hans‐Peter Seidel, George Donohue and Jorge F. Sánchez-García. Their work appears in journals such as Cancer Research, Experimental Eye Research, Journal of Medicinal Chemistry, Acta Pharmaceutica Sinica B and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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